def video_file(file):
cap = hg.cvCreateFileCapture(file)
f = hg.cvQueryFrame(cap)
while f != None:
yield f
f = hg.cvQueryFrame(cap)
def video_file(file):
cap = hg.cvCreateFileCapture(file);
f = hg.cvQueryFrame(cap)
while f != None:
yield f
f = hg.cvQueryFrame(cap)
def process(self, videofile, progress):
progress(0, _("Extracting histogram"))
video = hg.cvCreateFileCapture(str(videofile).encode(sys.getfilesystemencoding()))
if not video:
raise Exception("Could not open video file")
histo = cv.cvCreateHist([256],cv.CV_HIST_ARRAY,[[0,256]], 1)
frame = hg.cvQueryFrame(video)
frame_gray = cv.cvCreateImage(cv.cvGetSize(frame), frame.depth, 1);
hists = []
nbframes = 0
fps = hg.cvGetCaptureProperty(video, hg.CV_CAP_PROP_FPS)
while frame :
if not progress(hg.cvGetCaptureProperty(video, hg.CV_CAP_PROP_POS_AVI_RATIO)):
break
hg.cvConvertImage(frame,frame_gray)
cv.cvCalcHist(frame_gray,histo,0,None)
h = [cv.cvGetReal1D(histo.bins,i) for i in range(255) ]
h = numpy.array(h,dtype='int32')
hists.append(h)
frame = hg.cvQueryFrame(video)
nbframes += 1
hists = numpy.array(hists)
return hists.reshape(nbframes, -1), fps
def _detect(image):
""" Detects faces on `image`
Parameters:
@image: image file path
Returns:
[((x1, y1), (x2, y2)), ...] List of coordenates for top-left
and bottom-right corner
"""
# the OpenCV API says this function is obsolete, but we can't
# cast the output of cvLoad to a HaarClassifierCascade, so use
# this anyways the size parameter is ignored
capture = cvCreateFileCapture(image)
if not capture:
return []
frame = cvQueryFrame(capture)
if not frame:
return []
img = cvCreateImage(cvSize(frame.width, frame.height),
IPL_DEPTH_8U, frame.nChannels)
cvCopy(frame, img)
# allocate temporary images
gray = cvCreateImage((img.width, img.height),
COPY_DEPTH, COPY_CHANNELS)
width, height = (cvRound(img.width / IMAGE_SCALE),
cvRound(img.height / IMAGE_SCALE))
small_img = cvCreateImage((width, height), COPY_DEPTH, COPY_CHANNELS)
# convert color input image to grayscale
cvCvtColor(img, gray, CV_BGR2GRAY)
# scale input image for faster processing
cvResize(gray, small_img, CV_INTER_LINEAR)
cvEqualizeHist(small_img, small_img)
cvClearMemStorage(STORAGE)
coords = []
for haar_file in CASCADES:
cascade = cvLoadHaarClassifierCascade(haar_file, cvSize(1, 1))
if cascade:
faces = cvHaarDetectObjects(small_img, cascade, STORAGE, HAAR_SCALE,
MIN_NEIGHBORS, HAAR_FLAGS, MIN_SIZE) or []
for face_rect in faces:
# the input to cvHaarDetectObjects was resized, so scale the
# bounding box of each face and convert it to two CvPoints
x, y = face_rect.x, face_rect.y
pt1 = (int(x * IMAGE_SCALE), int(y * IMAGE_SCALE))
pt2 = (int((x + face_rect.width) * IMAGE_SCALE),
int((y + face_rect.height) * IMAGE_SCALE))
coords.append((pt1, pt2))
return coords
def _detect(image):
""" Detects faces on `image`
Parameters:
@image: image file path
Returns:
[((x1, y1), (x2, y2)), ...] List of coordenates for top-left
and bottom-right corner
"""
# the OpenCV API says this function is obsolete, but we can't
# cast the output of cvLoad to a HaarClassifierCascade, so use
# this anyways the size parameter is ignored
capture = cvCreateFileCapture(image)
if not capture:
return []
frame = cvQueryFrame(capture)
if not frame:
return []
img = cvCreateImage(cvSize(frame.width, frame.height), IPL_DEPTH_8U,
frame.nChannels)
cvCopy(frame, img)
# allocate temporary images
gray = cvCreateImage((img.width, img.height), COPY_DEPTH, COPY_CHANNELS)
width, height = (cvRound(img.width / IMAGE_SCALE),
cvRound(img.height / IMAGE_SCALE))
small_img = cvCreateImage((width, height), COPY_DEPTH, COPY_CHANNELS)
# convert color input image to grayscale
cvCvtColor(img, gray, CV_BGR2GRAY)
# scale input image for faster processing
cvResize(gray, small_img, CV_INTER_LINEAR)
cvEqualizeHist(small_img, small_img)
cvClearMemStorage(STORAGE)
coords = []
for haar_file in CASCADES:
cascade = cvLoadHaarClassifierCascade(haar_file, cvSize(1, 1))
if cascade:
faces = cvHaarDetectObjects(small_img, cascade, STORAGE,
HAAR_SCALE, MIN_NEIGHBORS, HAAR_FLAGS,
MIN_SIZE) or []
for face_rect in faces:
# the input to cvHaarDetectObjects was resized, so scale the
# bounding box of each face and convert it to two CvPoints
x, y = face_rect.x, face_rect.y
pt1 = (int(x * IMAGE_SCALE), int(y * IMAGE_SCALE))
pt2 = (int((x + face_rect.width) * IMAGE_SCALE),
int((y + face_rect.height) * IMAGE_SCALE))
coords.append((pt1, pt2))
return coords
def __init__(self, path, start=0, stop=None):
self.path = path
self.video = hg.cvCreateFileCapture(self.path)
# these functions don't seem to work at present on my linux system
# self.fps = hg.cvGetCaptureProperty(self.video, hg.CV_CAP_PROP_FPS)
# self.n_of_frames = hg.cvGetCaptureProperty(self.video, hg.CV_CAP_PROP_FRAME_COUNT)
# self.duration = self.n_of_frames/self.fps
# self.width = hg.cvGetCaptureProperty(self.video, hg.CV_CAP_PROP_FRAME_WIDTH)
# self.height = hg.cvGetCaptureProperty(self.video, hg.CV_CAP_PROP_FRAME_HEIGHT)
hg.cvSetCaptureProperty(self.video, hg.CV_CAP_PROP_POS_FRAMES, start)
def __init__(self, path, start=0, stop=None):
self.path = path
self.video = hg.cvCreateFileCapture(self.path)
# these functions don't seem to work at present on my linux system
#self.fps = hg.cvGetCaptureProperty(self.video, hg.CV_CAP_PROP_FPS)
#self.n_of_frames = hg.cvGetCaptureProperty(self.video, hg.CV_CAP_PROP_FRAME_COUNT)
#self.duration = self.n_of_frames/self.fps
#self.width = hg.cvGetCaptureProperty(self.video, hg.CV_CAP_PROP_FRAME_WIDTH)
#self.height = hg.cvGetCaptureProperty(self.video, hg.CV_CAP_PROP_FRAME_HEIGHT)
hg.cvSetCaptureProperty(self.video, hg.CV_CAP_PROP_POS_FRAMES, start)
def __init__(self, parent=None):
QWidget.__init__(self)
self.resize(550, 550)
self.setWindowTitle('vedio control')
self.status = 0 # 0 is init status;1 is play video; 2 is capture video
self.image = QImage()
# 录制的视频保存位置、格式等参数设定
self.videowriter = highgui.cvCreateVideoWriter(
"test.mpg", highgui.CV_FOURCC('m', 'p', 'g', '1'), 25,
cv.cvSize(200, 200), 1)
# 播放的视频位置
self.playcapture = highgui.cvCreateFileCapture("test.avi")
# 初始化按钮
self.capturebtn = QPushButton('capture')
self.playbtn = QPushButton('play')
exitbtn = QPushButton('exit')
# 界面布局
vbox = QVBoxLayout()
vbox.addWidget(self.capturebtn)
vbox.addWidget(self.playbtn)
vbox.addWidget(exitbtn)
self.piclabel = QLabel('pic')
hbox = QHBoxLayout()
hbox.addLayout(vbox)
hbox.addStretch(1)
hbox.addWidget(self.piclabel)
self.setLayout(hbox)
# 加载初始页面
if self.image.load("1.jpg"):
self.piclabel.setPixmap(QPixmap.fromImage(self.image))
# 设定定时器
self.timer = Timer() # 录制视频
self.playtimer = Timer("updatePlay()") # 播放视频
# 信号--槽
self.connect(self.timer, SIGNAL("updateTime()"), self.CaptureVGA)
self.connect(self.capturebtn, SIGNAL("clicked()"), self.PauseBegin)
self.connect(self.playtimer, SIGNAL("updatePlay()"), self.PlayVideo)
self.connect(self.playbtn, SIGNAL("clicked()"), self.VideoPlayPause)
self.connect(exitbtn, SIGNAL("clicked()"), app, SLOT("quit()"))
def createCapture(self, file_name):
capture = cvCreateFileCapture(file_name)
return capture
def createCapture(self, file_name):
capture = cvCreateFileCapture(file_name)
return capture
# no device number on the command line, assume we want the 1st device
device = 0
if len (sys.argv) == 1:
# no argument on the command line, try to use the camera
capture = highgui.cvCreateCameraCapture (device)
# set the wanted image size from the camera
highgui.cvSetCaptureProperty (capture,
highgui.CV_CAP_PROP_FRAME_WIDTH, 320)
highgui.cvSetCaptureProperty (capture,
highgui.CV_CAP_PROP_FRAME_HEIGHT,240)
else:
# we have an argument on the command line,
# we can assume this is a file name, so open it
capture = highgui.cvCreateFileCapture (sys.argv [1])
# check that capture device is OK
if not capture:
print "Error opening capture device"
sys.exit (1)
# create an image to put in the histogram
histimg = cv.cvCreateImage (cv.cvSize (320,240), 8, 3)
# init the image of the histogram to black
cv.cvSetZero (histimg)
# capture the 1st frame to get some propertie on it
frame = highgui.cvQueryFrame (capture)
#! /usr/bin/env python
import opencv
from opencv import highgui
cap = highgui.cvCreateFileCapture("../c/tree.avi")
img = highgui.cvQueryFrame(cap)
print "Got frame of dimensions (", img.width, " x ", img.height, " )"
highgui.cvNamedWindow("win", highgui.CV_WINDOW_AUTOSIZE)
highgui.cvShowImage("win", img)
highgui.cvMoveWindow("win", 200, 200)
highgui.cvWaitKey(0)
# no device number on the command line, assume we want the 1st device
device = 0
if len(sys.argv) == 1:
# no argument on the command line, try to use the camera
capture = highgui.cvCreateCameraCapture(device)
# set the wanted image size from the camera
highgui.cvSetCaptureProperty(capture, highgui.CV_CAP_PROP_FRAME_WIDTH,
1600)
highgui.cvSetCaptureProperty(capture, highgui.CV_CAP_PROP_FRAME_HEIGHT,
1200)
else:
# we have an argument on the command line,
# we can assume this is a file name, so open it
capture = highgui.cvCreateFileCapture(sys.argv[1])
# check that capture device is OK
if not capture:
print "Error opening capture device"
sys.exit(1)
# create an image to put in the histogram
histimg = cv.cvCreateImage(cv.cvSize(320, 240), 8, 3)
# init the image of the histogram to black
cv.cvSetZero(histimg)
# capture the 1st frame to get some propertie on it
frame = highgui.cvQueryFrame(capture)
def __init__(self, left_file, right_file):
self.left = hg.cvCreateFileCapture(left_file);
self.right = hg.cvCreateFileCapture(right_file);
def __init__(self, left_file, right_file):
self.left = hg.cvCreateFileCapture(left_file)
self.right = hg.cvCreateFileCapture(right_file)
print """usage : multitouch [option]
option:
-h | --help show help
-f | --file <path> open file (no cam)
-s | --size <width><height> param of cam
--noGUI dont show windows
attention a l ordre des arguments
"""
sys.exit(1)
elif sys.argv[i] == "-s" or sys.argv[i] == "--size":
capture = init_cam(sys.argv[i + 1], sys.argv[i + 2])
i = i + 2
elif sys.argv[i] == "-f" or sys.argv[i] == "--file":
capture = highgui.cvCreateFileCapture(str(sys.argv[i + 1]))
i = i + 1
elif sys.argv[i] == "--noGUI":
GUI = 0
capture = init_cam()
i = i + 1
elif sys.argv[i] == "--fps":
capture = init_cam()
highgui.cvSetCaptureProperty(capture, highgui.CV_CAP_PROP_FPS,
int(sys.argv[i + 1]))
i = i + 1
# check that capture device is OK
if not capture:
print "Error opening capture device"
sys.exit(1)
